Evidence map›Paper›PMID 31088449›Full record

ArticleBMC medicine2019

The frailty index is a predictor of cause-specific mortality independent of familial effects from midlife onwards: a large cohort study.

Xia Li, Alexander Ploner, Ida K Karlsson, Xingrong Liu, Patrik K E Magnusson, Nancy L Pedersen, Sara Hägg, Juulia Jylhävä

Abstract read
In one paragraph

Article in BMC medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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3 · Its place in the literature

Who cites it

48 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Xia LiThe Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels väg 12A, 17165, Stockholm, Sweden.
Alexander PlonerThe Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels väg 12A, 17165, Stockholm, Sweden.
Ida K KarlssonThe Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels väg 12A, 17165, Stockholm, Sweden.
Xingrong LiuThe Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels väg 12A, 17165, Stockholm, Sweden.
Patrik K E MagnussonThe Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels väg 12A, 17165, Stockholm, Sweden.
Nancy L PedersenThe Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels väg 12A, 17165, Stockholm, Sweden.
Sara HäggThe Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels väg 12A, 17165, Stockholm, Sweden.
Juulia JylhäväThe Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels väg 12A, 17165, Stockholm, Sweden. juulia.jylhava@ki.se.ORCID 0000-0003-0250-4491

Funding

DEMENTIA IN TWINSR01AG008724 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GATZ, MARGARET · 1990 to 2002
$1.4M
NIA NIH HHS R01 AG008724
6 · The paper itself

Abstract

backgroundFrailty index (FI) is a well-established predictor of all-cause mortality, but less is known for cause-specific mortality and whether familial effects influence the associations. Middle-aged individuals are also understudied for the association between FI and mortality. Furthermore, the population mortality impact of frailty remains understudied.

methodsWe estimated the predictive value of FI for all-cause and cause-specific mortality, taking into account familial factors, and tested whether the associations are time-dependent. We also assessed the proportion of all-cause and cause-specific deaths that are attributable to increased levels of frailty. We analyzed 42,953 participants from the Screening Across the Lifespan Twin Study (aged 41-95 years at baseline) with up to 20 years' mortality follow-up. The FI was constructed using 44 health-related items. Deaths due to cardiovascular disease (CVD), respiratory-related causes, and cancer were considered in the cause-specific analysis. Generalized survival models were used in the analysis.

resultsIncreased FI was associated with higher risks of all-cause, CVD, and respiratory-related mortality, with the corresponding hazard ratios of 1.28 (1.24, 1.32), 1.31 (1.23, 1.40), and 1.23 (1.11, 1.38) associated with a 10% increase in FI in male single responders, and 1.21 (1.18, 1.25), 1.27 (1.15, 1.34), and 1.26 (1.15, 1.39) in female single responders. No significant associations were observed for cancer mortality. No attenuation of the mortality associations in unrelated individuals was observed when adjusting for familial effects in twin pairs. The associations were time-dependent with relatively greater effects observed in younger ages. Before the age of 80, the proportions of deaths attributable to FI levels > 0.21 were 18.4% of all-cause deaths, 25.4% of CVD deaths, and 20.4% of respiratory-related deaths in men and 19.2% of all-cause deaths, 27.8% of CVD deaths, and 28.5% of respiratory-related deaths in women. After the age of 80, the attributable proportions decreased, most notably for all-cause and CVD mortality.

conclusionsIncreased FI predicts higher risks of all-cause, CVD, and respiratory-related mortality independent of familial effects. Increased FI presents a relatively greater risk factor at midlife than in old age. Increased FI has a significant population mortality impact that is greatest through midlife until the age of 80.

Indexed as

Health Status IndicatorsAdultAgedAged, 80 and overAgingCardiovascular DiseasesCause of DeathCohort StudiesFamily HealthFemaleFollow-Up StudiesFrailtyHumansMaleMiddle AgedMortalityAttributable fractionFamilial effectFrailty indexMortalityTime-varying effect

Identifiers

PMID31088449
PMCPMC6518710

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.